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hBERTv1_new_pretrain_stsb
gokuls/hBERTv1_new_pretrain_stsb
hBERTv1_new_pretrain_stsb is a text classification model from gokuls. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- hybridbert
- Access
- Public
- Created
- May 31, 2023
- Updated
- Jun 6, 2023
- SHA
- f7b9354e
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Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
hBERTv1_new_pretrain_stsb
This model is a fine-tuned version of gokuls/bert_12_layer_model_v1_complete_training_new on the GLUE STSB dataset. It achieves the following results on the evaluation set:
- Loss: 2.2275
- Pearson: 0.2386
- Spearmanr: 0.2477
- Combined Score: 0.2431
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 4e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
|---|---|---|---|---|---|---|
| 2.2918 | 1.0 | 45 | 2.6098 | 0.1233 | 0.1129 | 0.1181 |
| 1.9907 | 2.0 | 90 | 2.4074 | 0.2000 | 0.1874 | 0.1937 |
| 1.6996 | 3.0 | 135 | 2.2275 | 0.2386 | 0.2477 | 0.2431 |
| 1.4403 | 4.0 | 180 | 2.5775 | 0.3060 | 0.3062 | 0.3061 |
| 1.1707 | 5.0 | 225 | 2.3220 | 0.3500 | 0.3356 | 0.3428 |
| 0.8313 | 6.0 | 270 | 2.4218 | 0.3881 | 0.3929 | 0.3905 |
| 0.6374 | 7.0 | 315 | 2.2601 | 0.3980 | 0.3955 | 0.3967 |
| 0.5371 | 8.0 | 360 | 2.6668 | 0.3626 | 0.3601 | 0.3614 |
Framework versions
- Transformers 4.29.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- hybridbert
- Languages
- en
- Created
- May 31, 2023
- Updated
- Jun 6, 2023